Dear DataMed user: DataMed prototype(v3.0) is being developed for the NIH BD2K Data Discovery Index (DDI) by the bioCADDIE project team. DataMed, once completed, will be of use to the scientific community to allow users to search for and find data across different repositories in one space.
We are soliciting your feedback to help us shape DataMeds' future development. Please take a moment to answer this brief Survey Form and give us your thoughts. We believe your voice will be a critical addition to the development of the bioCADDIE prototype.
Thank you, from the bioCADDIE team.

CTCs are the purpoted intermediates of metastatic dissemination and are likely to contain cellular clones responsible for disease progression representing a preferred source for identification of druggable targets. Unfortunately a molecular characterization of CTCs is seriously hampered by their low numbers even in metastatic patients and by the elevated contamination of isolated CTCs with leukocytes. With the final goal of providing a reliable assay allowing to obtain valuable information on CTC features in the clinical setting, we have developed a method based on capture with beads linked to EpCAM and to MUC1 exploiting a commercially available kit and performing an extensive gene expression profiling with the DASL platform. For spike-in experiments, low pre-defined numbers of cells derived from established breast cancer cell lines (MCF7 and MDA-MB-468) were spiked into 5 mL of whole blood of healthy donor and captured using AdnaTest EMT-1/StemCell Select kit. Total RNA isolated from the captured cells together with total RNA isolated from the same in vitro cultered cells was processed in duplicate or triplicate onto Illumina Whole-Genome DASL HT platform. Finally, gene expression profiling was carried out on CTCs isolated from blood of 7 patients with advanced breast cancer. According with the characteristics of the study, data normalization was not applicable